21-11-2013 дата публикации
Номер: US20130308570A1
The invention relates to the technical field of wireless communication, and provides a method for joint optimization of schedule and resource allocation based on a genetic algorithm, which is applied in a CoMP communication system. The method includes steps of: S1, encoding chromosome; S2, initializing setting; S3, computing fitness value; S4, determining whether the optimal solution is better than an elite: if yes, updating the elite and executing S5, and if no, turning to S5; S5, determining whether a predetermined generation of population has been generated or not, if no, executing S6, otherwise, turning to S8; S6, participating reproduction process to generate two offspring chromosome individuals; S7, determining whether a predetermined number of offspring chromosome individuals have been generated, if yes, turning to S3 to compute again; otherwise keeping on reproduction; S8, performing schedule and resource allocation according to a solution corresponding to the elite. Under the condition of satisfying schedule limitation and power limitation, the method can, by uniting schedule and resource allocation, efficiently optimize system performance with less computing complexity. 1. A method for joint optimization of schedule and resource allocation based on genetic algorithm for use in a CoMP communication system , comprising steps ofS1, designing encoding chromosome for a potential solution of a problem;S2, initializing settings, including setting an initial population, an elite, and control parameters of the genetic algorithm;S3, computing fitness values of respective chromosomes in a new population including the elite;to S4, determining whether the optimal solution is better than the elite, if yes, updating the elite and then proceeding step S5; otherwise, directly turning to step S5;S5, determining whether a predetermined number of generations of population have been generated, if no, proceeding step S6; otherwise, directly turning to step S8;S6, participating ...
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